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Isaac Salazar-Ciudad
Researcher at Autonomous University of Barcelona
Publications - 58
Citations - 3075
Isaac Salazar-Ciudad is an academic researcher from Autonomous University of Barcelona. The author has contributed to research in topics: Gene regulatory network & Evolutionary developmental biology. The author has an hindex of 24, co-authored 56 publications receiving 2743 citations. Previous affiliations of Isaac Salazar-Ciudad include University of Helsinki & Polytechnic University of Catalonia.
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A gene network model accounting for development and evolution of mammalian teeth.
TL;DR: Large morphological effects frequently can be achieved by small changes, according to this model, and similar morphologies can be produced by different changes, consistent with why predicting the morphological outcomes of molecular experiments is challenging.
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Continuous tooth generation in mouse is induced by activated epithelial Wnt/β-catenin signaling
Elina Järvinen,Isaac Salazar-Ciudad,Walter Birchmeier,Makoto Mark Taketo,Jukka Jernvall,Irma Thesleff +5 more
TL;DR: It is demonstrated that the supernumerary teeth develop by a renewal process where new signaling centers, the enamel knots, bud off from the existing dental epithelium, supporting the role of β-catenin pathway as an upstream activator of enamel knot formation.
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A computational model of teeth and the developmental origins of morphological variation
TL;DR: A computational model of mammalian tooth development that combines parameters of genetic and cellular interactions to produce a three-dimensional tooth from a simple tooth primordia is reported, suggesting that despite the complexity of development and teeth, there may be a simple basis for dental variation.
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Mechanisms of pattern formation in development and evolution
TL;DR: It is suggested that differences in `variational properties' lead to morphostatic and morphodynamic mechanisms being represented to different extents in early and late stages of development and to their contributing in distinct ways to morphological transitions in evolution.
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Phenotypic and dynamical transitions in model genetic networks. I. Emergence of patterns and genotype-phenotype relationships.
TL;DR: It is found that patterns with few stripes are most likely to originate in the form of a hierarchic network, whereas those with greater numbers of stripes originate most readily as emergent networks, and there appears to be an evolutionary tendency for emergent mechanisms to be replaced by hierarchic mechanisms.